This article describes an example of the difficulties involved in the construction of a term-based satellite (or domain-specific) ontology integrated in FunGramKB -a lexico-conceptual knowledge base for the computational processing of natural language (Periñán-Pascual &

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In this article we discuss the processes of terminology extraction and specialized knowledge conceptualization taking the field of criminal law as an illustrative case in point. Regarding the first process, we provide an overview of DEXTER, a tool that has proven effective in detecting specialized units from a collection of texts with minimal effort on the part of the user. Regarding the conceptualization phase, this article illustrates the conceptual definition of some representative units belonging to the field of "criminal offenders". The purpose of conceptual modeling along these lines is the inclusion of specialized units of thought into a knowledge base known as FunGramKB. The aim of this paper is to show that the combination of an extractor such as DEXTER with the semantic expressiveness of FunGramKB constitutes a solid basis for the improvement of specialized technological tools aimed at jurists, legal specialists, or other practitioners interested in legal terminology.

This book came to light in the year just when, following the Bologna Process agenda, the new European Higher Education Area (EHEA) was officially launched in the universities in Europe. It was the Bologna Declaration, back in 1999 that set in motion a number of reforms to make Higher Education in Europe more competitive, comparable and coherent. For more than a decade now, European universities have adopted significant changes in order to meet these requirements. The field of Professional English, or English for Specific Purposes (ESP), directly addresses these demands derived from the Bologna Process. Indeed, the increasing significance and interest in relation to ESP is a direct consequence of the new product-oriented higher education system, as well as of our modern globalized society where English has become the lingua franca in most professional and commercial activities. The present volume seeks in many ways to address this undeniably relevant and up-to-date issue.Skillfully edited by Linde López and Crespo Jiménez, Professional English in the European Context: the EHEA Challenge is a collection of contributions that deal with practical and theoretical aspects of ESP teaching and research in higher education, with a special emphasis on how this academic field has to adjust in order to meet the requirements derived from the implementation of the European Higher Education Area. The book aims not only to present a variety of contexts

In this article we intend to offer the results of comparing and matching basic and terminal concepts (and their corresponding lexical units) in FunGramKB with Words (and their corresponding synonyms) in the ASD-STE dictionary and determine whether the way in which this controlled language has been designed draws similarities with the way in which the conceptual information of that knowledge base is built. To provide evidence based on authentic material, we have selected the list of 190 approved verbs in the ASD-STE dictionary: a collection of units complying with the ASD-STE lexical and syntactic restrictions. These verbs are used as a representative sample to be compared with 547 verbal concepts stored in the FunGramKB #EVENT subontology (as basic or terminal concepts). The level of compatibility between both repositories offers four possibilities of conceptual and/or lexical matching at varying degrees: i) direct matching, ii) indirect matching, iii) no matching, or iv) missing. The quantitative results of this analysis may prove that a significant percentage of verbal Words in the ASD-STE dictionary (more than 50%) are directly or indirectly represented in FunGramKB, either as concepts or as lexical units associated with other concepts.